AstraZeneca Internship 2026 in Canada

AstraZeneca Officially Opens Machine Learning Internship 2026 in Canada

If you are pursuing a PhD and working at the intersection of machine learning and science, the AstraZeneca Machine Learning Research Internship 2026 in Canada offers a rare chance to turn advanced research into real-world medical impact. Hosted by one of the world’s leading biopharmaceutical companies, this paid summer internship places you within a global research team where your work directly supports drug discovery and development. For you, it is an opportunity to apply cutting-edge AI methods to problems that matter—while gaining industry research experience that strengthens your academic and professional profile.

What AstraZeneca ML Internship Really Offers You

This AstraZeneca Summer Internship 2026 is designed to treat you as a contributing researcher rather than a temporary assistant. You will work on meaningful machine learning problems, receive guidance from experienced scientists, and gain exposure to pharmaceutical R&D workflows. The program offers paid full-time research for up to four months, a hybrid work model with onsite collaboration, and the possibility to develop publishable research suitable for top-tier machine learning conferences. Along the way, you build strong industry connections and gain insight into how AI research translates into real medicines.

As a Machine Learning Research Intern, your work will focus on advanced structure prediction models for antibody–antigen complexes. Your work may involve:

  • Benchmarking state-of-the-art antibody–antigen structure prediction models
  • Improving confidence scores and performance of structure-based ML models
  • Designing and implementing novel deep learning approaches
  • Applying MLOps best practices throughout the research lifecycle
  • Presenting results to internal scientific stakeholders

Who Can Apply for AstraZeneca Machine Learning Internship 2026?

You are eligible for this AI research internship at AstraZeneca if you are currently pursuing a PhD in machine learning, computer science, computational biology, or a closely related field. You should have solid experience in deep learning, including model training and fine-tuning, and be comfortable working with frameworks such as PyTorch or equivalent ML frameworks. A strong interest in biomedical or antibody-related applications is important, along with the ability to communicate research clearly. You must be available full-time during the internship period and expect to graduate after August 2026.

How to Apply for AstraZeneca Internship 2026 in Canada

Applications are submitted online through AstraZeneca’s official careers portal. You will upload your academic and research details, and shortlisted candidates may get an invitation for technical or research-focused discussions. Given the competitive nature of this role, we strongly recommend submitting a well-prepared application early.

Key Details at a Glance

Item Details
Internship Name AstraZeneca Machine Learning Research Internship 2026
Company AstraZeneca
Location Mississauga, Ontario, Canada
Duration 10–12 weeks (up to 4 months)
Start Date May 2026
Position Type Paid Internship
Eligibility Level PhD Students
Work Mode Hybrid (2–3 days onsite)
Salary Range CAD 42,908 – 56,316 (annual, pro-rated)

If you want to apply your machine learning expertise to real biomedical challenges while gaining paid industry research experience in Canada, the AstraZeneca Machine Learning Internship 2026 is an excellent fit. Prepare your application carefully and apply through the official AstraZeneca careers portal to take the next step in your research journey.

Looking for more paid internships, PhD-level research roles, and global AI opportunities? Stay connected with us to receive trusted, student-focused updates that help you plan your academic and professional future with confidence.

About Dr. Umar Hasan

With a Ph.D. in Engineering, he is an educator, researcher, and academic leader. Serving as the Controller of Examinations and Assistant Professor, he founded OpportunitiesPath.com to connect individuals with verified global opportunities.

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